HMM and IOHMM modeling of EEG rhythms for asynchronous BCI systems

We compare the use of two Markovian models, HMMs and IOHMMs, to discriminate between three mental tasks for brain computer interface systems using an asynchronous protocol. We show that the discriminant properties of IOHMMs give superior classification performance but that, probably due to the lack of prior knowledge in the design of an appropriate topology, none of these models are able to use temporal information adequately.

• Type: Conference
• Year: 2004
• Where: ESANN
• Authors: Silvia Chiappa, Nicolas Donckers, Samy Bengio, Frédéric Vrins
• Keywords: Asynchronous Protocol, ESANN 2004, ESANN 2007, Markovian Models, Superior Classification Performance